Regression Data Analysis System

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.


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Reference manual

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install.packages("regressoR")

2.0.1 by Oldemar Rodriguez R., 15 days ago


https://www.promidat.com


Browse source code at https://github.com/cran/regressoR


Authors: Oldemar Rodriguez R. [aut, cre] , Andres Navarro D. [ctb, prg] , Diego Jimenez A. [ctb, prg] , Ariel Arroyo S. [ctb, prg]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports shiny, golem, echarts4r, shinyAce, shinydashboard, shinycustomloader, shinydashboardPlus, rlang, shinyjs, neuralnet, rpart, DT, randomForest, e1071, kknn, glmnet, gbm, pls, htmltools, rpart.plot


See at CRAN